Stamping line optimization using genetic algorithms and virtual 3D line simulation

Javier A. García-Sedano; Jon Alzola Bernardo; Asier González González; Óscar Berasategui Ruiz De Gauna; Rafael Yuguero González De Mendivil

doi:10.1007/978-3-642-13769-3_39

Stamping line optimization using genetic algorithms and virtual 3D line simulation

Javier A. García-Sedano, Jon Alzola Bernardo, Asier González González, Óscar Berasategui Ruiz De Gauna, Rafael Yuguero González De Mendivil

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

This paper describes the use of a genetic algorithm (GA) in order to optimize the trajectory followed by industrial robots (IRs) in stamping lines. The objective is to generate valid paths or trajectories without collisions in order to minimize the cycle time required to complete all the operations in an individual stamping cell of the line. A commercial software tool is used to simulate the virtual trajectories and potential collisions, taking into account the specific geometries of the different parts involved: robot arms, columns, dies and manipulators. Then, a genetic algorithm is proposed to optimize trajectories. Both systems, the GA and the simulator, communicate as client - server in order to evaluate solutions proposed by the GA. The novelty of the idea is to consider the geometry of the specific components to adjust robot paths to optimize cycle time in a given stamping cell.

Original language	English
Title of host publication	Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings
Pages	319-326
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-13769-3_39
Publication status	Published - 2010
Event	5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010 - San Sebastian, Spain Duration: 23 Jun 2010 → 25 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6076 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010
Country/Territory	Spain
City	San Sebastian
Period	23/06/10 → 25/06/10

Keywords

Genetic Algorithm
Off-line Path Planning
Virtual Manufacturing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-13769-3_39

Cite this

García-Sedano, J. A., Bernardo, J. A., González, A. G., De Gauna, Ó. B. R., & De Mendivil, R. Y. G. (2010). Stamping line optimization using genetic algorithms and virtual 3D line simulation. In Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings (PART 1 ed., pp. 319-326). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6076 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-13769-3_39

García-Sedano, Javier A. ; Bernardo, Jon Alzola ; González, Asier González et al. / Stamping line optimization using genetic algorithms and virtual 3D line simulation. Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings. PART 1. ed. 2010. pp. 319-326 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Stamping line optimization using genetic algorithms and virtual 3D line simulation",

abstract = "This paper describes the use of a genetic algorithm (GA) in order to optimize the trajectory followed by industrial robots (IRs) in stamping lines. The objective is to generate valid paths or trajectories without collisions in order to minimize the cycle time required to complete all the operations in an individual stamping cell of the line. A commercial software tool is used to simulate the virtual trajectories and potential collisions, taking into account the specific geometries of the different parts involved: robot arms, columns, dies and manipulators. Then, a genetic algorithm is proposed to optimize trajectories. Both systems, the GA and the simulator, communicate as client - server in order to evaluate solutions proposed by the GA. The novelty of the idea is to consider the geometry of the specific components to adjust robot paths to optimize cycle time in a given stamping cell.",

keywords = "Genetic Algorithm, Off-line Path Planning, Virtual Manufacturing",

author = "Garc{\'i}a-Sedano, {Javier A.} and Bernardo, {Jon Alzola} and Gonz{\'a}lez, {Asier Gonz{\'a}lez} and {De Gauna}, {{\'O}scar Berasategui Ruiz} and {De Mendivil}, {Rafael Yuguero Gonz{\'a}lez}",

year = "2010",

doi = "10.1007/978-3-642-13769-3_39",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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García-Sedano, JA, Bernardo, JA, González, AG, De Gauna, ÓBR & De Mendivil, RYG 2010, Stamping line optimization using genetic algorithms and virtual 3D line simulation. in Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6076 LNAI, pp. 319-326, 5th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2010, San Sebastian, Spain, 23/06/10. https://doi.org/10.1007/978-3-642-13769-3_39

Stamping line optimization using genetic algorithms and virtual 3D line simulation. / García-Sedano, Javier A.; Bernardo, Jon Alzola; González, Asier González et al.
Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings. PART 1. ed. 2010. p. 319-326 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6076 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Stamping line optimization using genetic algorithms and virtual 3D line simulation

AU - García-Sedano, Javier A.

AU - Bernardo, Jon Alzola

AU - González, Asier González

AU - De Gauna, Óscar Berasategui Ruiz

AU - De Mendivil, Rafael Yuguero González

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N2 - This paper describes the use of a genetic algorithm (GA) in order to optimize the trajectory followed by industrial robots (IRs) in stamping lines. The objective is to generate valid paths or trajectories without collisions in order to minimize the cycle time required to complete all the operations in an individual stamping cell of the line. A commercial software tool is used to simulate the virtual trajectories and potential collisions, taking into account the specific geometries of the different parts involved: robot arms, columns, dies and manipulators. Then, a genetic algorithm is proposed to optimize trajectories. Both systems, the GA and the simulator, communicate as client - server in order to evaluate solutions proposed by the GA. The novelty of the idea is to consider the geometry of the specific components to adjust robot paths to optimize cycle time in a given stamping cell.

AB - This paper describes the use of a genetic algorithm (GA) in order to optimize the trajectory followed by industrial robots (IRs) in stamping lines. The objective is to generate valid paths or trajectories without collisions in order to minimize the cycle time required to complete all the operations in an individual stamping cell of the line. A commercial software tool is used to simulate the virtual trajectories and potential collisions, taking into account the specific geometries of the different parts involved: robot arms, columns, dies and manipulators. Then, a genetic algorithm is proposed to optimize trajectories. Both systems, the GA and the simulator, communicate as client - server in order to evaluate solutions proposed by the GA. The novelty of the idea is to consider the geometry of the specific components to adjust robot paths to optimize cycle time in a given stamping cell.

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García-Sedano JA, Bernardo JA, González AG, De Gauna ÓBR, De Mendivil RYG. Stamping line optimization using genetic algorithms and virtual 3D line simulation. In Hybrid Artificial Intelligence Systems - 5th International Conference, HAIS 2010, Proceedings. PART 1 ed. 2010. p. 319-326. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-13769-3_39

Stamping line optimization using genetic algorithms and virtual 3D line simulation

Abstract

Publication series

Conference

Keywords

UN SDGs

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